Towards Data Portability between Online Social Networks, a Conceptual Model of the Portable User Profile

2016 ◽  
Vol 8 (3) ◽  
pp. 37-54
Author(s):  
Sarah Bouraga ◽  
Ivan Jureta ◽  
Stéphane Faulkner
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Conceptual Model ◽  
Online Social Networks ◽  
Personal Information ◽  
Online Social Network ◽  
User Profile ◽  
Research Community ◽  
Full Control ◽  
Data Portability

The last decade has seen an increasing number of Online Social Network (OSN) users. As they grew more and more popular over the years, OSNs become also more and more profitable. Indeed, users share a considerable amount of personal information on these sites, both intentionally and unintentionally. And thanks to this enormous user base, social networks are able to generate recommendations; attract numerous advertisers; and sell the data to companies. This situation has sparked a lot of interest in the research community. Researchers have studied, among other topics, the issues of trust and privacy. Indeed, users grow more uncomfortable with the idea that they do not have full control over their own data. This paper addresses the notion of portable profile. The authors will discuss the advantages and drawbacks of a portable profile, from the perspective of the user and of the online social network. Secondly, the authors will propose a conceptual model for the data in this unified profile.

Users Holding Accounts on Multiple Online Social Networks

2019 ◽  
pp. 120-145
Author(s):  
Sarah Bouraga ◽  
Ivan Jureta ◽  
Stéphane Faulkner
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Conceptual Model ◽  
Online Social Networks ◽  
Personal Information ◽  
Online Social Network ◽  
Research Community ◽  
Full Control ◽  
Lack Of Control

The last decade has seen an increasing number of online social network (OSN) users. As they grew more and more popular over the years, OSNs became also more and more profitable. Indeed, users share a considerable amount of personal information on these sites, both intentionally and unintentionally. And thanks to this enormous user base, social networks are able to generate recommendations, attract numerous advertisers, and sell data to companies. This situation has sparked a lot of interest in the research community. Indeed, users grow more uncomfortable with the idea that they do not have full control over their own data. The lack of control can even be amplified when a user holds an account on various OSNs. The data she shares is then spread over multiple platforms. This chapter addresses the notion of portable profile, which could help users to gain more control or more awareness of the data collected about her. In this chapter, the authors discuss the advantages and drawbacks of a portable profile. Secondly, they propose a conceptual model for the data in this unified profile.

E-Marketing on Online Social Networks and Ethical Issues

2014 ◽  
pp. 926-940
Author(s):  
Gajendra Sharma ◽  
Li Baoku
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Ethical Issues ◽  
Personal Information ◽  
Online Social Network ◽  
Communication Tool ◽  
Initial Product ◽  
Marketing Tool ◽  
Market Needs

Online social network is any electronic tool or application that provides information, allowing collaboration, interaction, and sharing information among users. The social network can be utilized as an e-marketing tool with low-cost and effective source of medium for marketers to identify market needs, customer experiences, competitive movements, and trends. The purpose of this paper is to study the significance of online social networks based on web 2.0 technologies on e-marketing promotion and potential challenging issue as well as needs of ethical standards. The paper adopts a broad literature review relating to e-marketing on online social networks and ethics. This study examines that the ethical issues such as acts, regulations and policies that govern privacy, the collection of personal information and the protection of a user's identity are crucial when using social network for e-marketing and business promotion. As a communication tool the online social networks play a key role to reach initial product adopters and maintain interaction and collaboration with customers for market promotion.

E-Marketing on Online Social Networks and Ethical Issues

2012 ◽  
Vol 2 (4) ◽  
pp. 1-14 ◽  
Author(s):  
Gajendra Sharma ◽  
Li Baoku
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Ethical Issues ◽  
Personal Information ◽  
Low Cost ◽  
Online Social Network ◽  
Communication Tool ◽  
Initial Product ◽  
Marketing Tool

Online social network is any electronic tool or application that provides information, allowing collaboration, interaction, and sharing information among users. The social network can be utilized as an e-marketing tool with low-cost and effective source of medium for marketers to identify market needs, customer experiences, competitive movements, and trends. The purpose of this paper is to study the significance of online social networks based on web 2.0 technologies on e-marketing promotion and potential challenging issue as well as needs of ethical standards. The paper adopts a broad literature review relating to e-marketing on online social networks and ethics. This study examines that the ethical issues such as acts, regulations and policies that govern privacy, the collection of personal information and the protection of a user’s identity are crucial when using social network for e-marketing and business promotion. As a communication tool the online social networks play a key role to reach initial product adopters and maintain interaction and collaboration with customers for market promotion.

scholarly journals How migrants manifest their transnational identity through online social networks: comparative findings from a case of Koreans in Germany

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Sunyoung Park ◽  
Lasse Gerrits
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Point Of View ◽  
Comparative Case Study ◽  
Transnational Identity ◽  
Transnational Identities ◽  
Web 3.0 ◽  
Situational Contexts

AbstractAlthough migration has long been an imperative topic in social sciences, there are still needs of study on migrants’ unique and dynamic transnational identity, which heavily influences the social integration in the host society. In Online Social Network (OSN), where the contemporary migrants actively communicate and share their stories the most, different challenges against migrants’ belonging and identity and how they cope or reconcile may evidently exist. This paper aims to scrutinise how migrants are manifesting their belonging and identity via different technological types of online social networks, to understand the relations between online social networks and migrants’ multi-faceted transnational identity. The research introduces a comparative case study on an online social movement led by Koreans in Germany via their online communities, triggered by a German TV advertisement considered as stereotyping East Asians given by white supremacy’s point of view. Starting with virtual ethnography on three OSNs representing each of internet generations (Web 1.0 ~ Web 3.0), two-step Qualitative Data Analysis is carried out to examine how Korean migrants manifest their belonging and identity via their views on “who we are” and “who are others”. The analysis reveals how Korean migrants’ transnational identities differ by their expectation on the audience and the members in each online social network, which indicates that the distinctive features of the online platform may encourage or discourage them in shaping transnational identity as a group identity. The paper concludes with the two main emphases: first, current OSNs comprising different generational technologies play a significant role in understanding the migrants’ dynamic social values, and particularly, transnational identities. Second, the dynamics of migrants’ transnational identity engages diverse social and situational contexts. (keywords: transnational identity, migrants’ online social networks, stereotyping migrants, technological evolution of online social network).

Quantifying Virality of Information in Online Social Networks

2012 ◽  
Vol 4 (1) ◽  
pp. 32-45 ◽  
Author(s):  
Abhishek Vaish ◽  
Rajiv Krishna G. ◽  
Akshay Saxena ◽  
Dharmaprakash M. ◽  
Utkarsh Goel
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Critical Factors ◽  
Asset Valuation ◽  
Valuation Technique ◽  
Information Item ◽  
Viral Nature ◽  
Over Time

The aim of this research is to propose a model through which the viral nature of an information item in an online social network can be quantified. Further, the authors propose an alternate technique for information asset valuation by accommodating virality in it which not only complements the existing valuation system, but also improves the accuracy of the results. They use a popularly available YouTube dataset to collect attributes and measure critical factors such as share-count, appreciation, user rating, controversiality, and comment rate. These variables are used with a proposed formula to obtain viral index of each video on a given date. The authors then identify a conventional and a hybrid asset valuation technique to demonstrate how virality can fit in to provide accurate results.The research demonstrates the dependency of virality on critical social network factors. With the help of a second dataset acquired, the authors determine the pattern virality of an information item takes over time.

scholarly journals Defining Inspection Techniques for Detecting Privacy Problems in Online Social Networks

2019 ◽  
Vol 10 ◽  
pp. 35
Author(s):  
Andrey  Rodrigues ◽  
Natasha  M. C. Valentim ◽  
Eduardo  Feitosa
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Empirical Study ◽  
Qualitative Analysis ◽  
Online Social Networks ◽  
Online Social Network ◽  
Effective Alternative ◽  
Daily Lives ◽  
Study Participants ◽  
Inspection Techniques

In the last few years, Online Social Networks (OSN) have experienced growth in the number of users, becoming an increasingly embedded part of people’s daily lives. Privacy expectations of OSNs are higher as more members start realizing potential privacy problems they face by interacting with these systems. Inspection methods can be an effective alternative for addressing privacy problems because they detect possible defects that could be causing the system to behave in an undesirable way. Therefore, we proposed a set of privacy inspection techniques called PIT-OSN (Privacy Inspection Techniques for Online Social Network). This paper presents the description and evolution of PIT-OSN through the results of a preliminary empirical study. We discuss the quantitative and qualitative results and their impact on improving the techniques. Results indicate that our techniques assist non-expert inspectors uncover privacy problems effectively, and are considered easy to use and useful by the study participants. Finally, the qualitative analysis helped us improve some technique steps that might be unclear.

scholarly journals Balancing User Profile and Social Network Structure for Anchor Link Inferring Across Multiple Online Social Networks

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 12031-12040 ◽  
Author(s):  
Jiangtao Ma ◽  
Yaqiong Qiao ◽  
Guangwu Hu ◽  
Yongzhong Huang ◽  
Meng Wang ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Online Social Networks ◽  
User Profile ◽  
Social Network Structure

Social Network Citizenship

2012 ◽  
pp. 339-357 ◽  
Author(s):  
Mina Seraj ◽  
Aysegul Toker
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Conceptual Model ◽  
Online Social Networks ◽  
Marketing Strategies ◽  
Social Media Marketing ◽  
Marketing Practice

This chapter describes and discusses the specificities of membership commitment to online social networks. While delineating these specificities, we introduce the concept of social network citizenship (SNC) to define the characteristics of committed network members. A conceptual model involving commencement, creation, change, and commitment is developed in order to establish the antecedents of this new concept. In addition, the implications for marketing practice are discussed to reveal how companies can acquire social network citizens to retain their social media marketing strategies successful.

Building Online Social Networks to Engage Female Students in Information Systems

2015 ◽  
Vol 10 (4) ◽  
pp. 33-51
Author(s):  
Jaymeen R. Shah ◽  
Hsun-Ming Lee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Information Systems ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Role Models ◽  
Online Social Network ◽  
Research Process ◽  
Female Students ◽  
The Social

During the next decade, enrollment growth in Information Systems (IS) related majors is unlikely to meet the predicted demand for qualified IS graduates. Gender imbalance in the IS related program makes the situation worse as enrollment and retention of women in the IS major has been proportionately low compared to male. In recent years, majority of high school and college students have integrated social networking sites in their daily life and habitually use these sites. Providing female students access to role models via an online social network may enhance their motivation to continue as an IS major and pursue a career in IS field. For this study, the authors follow the action research process – exploration of information systems development. In particular, a Facebook application was developed to build the social network connecting role models and students. Using the application, a basic framework is tested based on the gender of participants. The results suggest that it is necessary to have adequate number of role models accessible to students as female role-models tend to select fewer students to develop relationships with a preference for female students. Female students likely prefer composite role models from a variety of sources. This pilot study yields valuable lessons to provide informal learning fostered by role modeling via online social networks. The Facebook application may be further expanded to enhance female students' interests in IS related careers.

Prediction of Social Influence for Provenance of Misinformation in Online Social Network Using Big Data Approach

2020 ◽  
Author(s):  
Kumaran P ◽  
Rajeswari Sridhar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Law Enforcement ◽  
Online Social Networks ◽  
Large Scale ◽  
Online Social Network ◽  
Root Cause ◽  
Minimum Number ◽  
Targeted Marketing ◽  
Implicit And Explicit

Abstract Online social networks (OSNs) is a platform that plays an essential role in identifying misinformation like false rumors, insults, pranks, hoaxes, spear phishing and computational propaganda in a better way. Detection of misinformation finds its applications in areas such as law enforcement to pinpoint culprits who spread rumors to harm the society, targeted marketing in e-commerce to identify the user who originates dissatisfaction messages about products or services that harm an organizations reputation. The process of identifying and detecting misinformation is very crucial in complex social networks. As misinformation in social network is identified by designing and placing the monitors, computing the minimum number of monitors for detecting misinformation is a very trivial work in the complex social network. The proposed approach determines the top suspected sources of misinformation using a tweet polarity-based ranking system in tandem with sarcasm detection (both implicit and explicit sarcasm) with optimization approaches on large-scale incomplete network. The algorithm subsequently uses this determined feature to place the minimum set of monitors in the network for detecting misinformation. The proposed work focuses on the timely detection of misinformation by limiting the distance between the suspected sources and the monitors. The proposed work also determines the root cause of misinformation (provenance) by using a combination of network-based and content-based approaches. The proposed work is compared with the state-of-art work and has observed that the proposed algorithm produces better results than existing methods.

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